grounded-coding

Converts qualitative interview transcripts into open codes, axial categories, paradigm models, and Excel exports.

Updated Apr 17, 2026

Search Tags:#qualitative analysis #axial coding #open coding #excel export #grounded coding #interview transcripts

Ready to run

npx skills add https://github.com/RenJW418/RenJW-Research_skill --skill grounded-coding

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: grounded-coding
Source: https://github.com/RenJW418/RenJW-Research_skill/tree/main/grounded-coding
Command: npx skills add https://github.com/RenJW418/RenJW-Research_skill --skill grounded-coding

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, and includes scripts (resource) components.

What problem does it solve?

This Skill helps you systematically perform grounded theory coding for interview transcripts and other qualitative materials, turning raw text into open codes, categories, paradigm-model relations, and exportable Excel summaries.

Core Features & Use Cases

Five-stage grounded theory workflow: Runs an end-to-end flow from overall theme overview through open coding, axial coding (paradigm model), and coding statistics, with optional selective coding guidance.
Cross-interview constant comparison: Supports building, revising, and evolving categories across multiple interviews using a cumulative coding table.
Persistent outputs for analysis: Saves each interview’s complete coding results to a Markdown file and, when all interviews are done, generates an aggregated Excel via the provided export script.

Quick Start

Ask the agent to grounded-coding an interview by providing the local file path, your research field, your research topic, and the interviewee description.

Frequently Asked Questions about grounded-coding

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I perform grounded theory coding on interview transcripts?▼

Grounded theory coding processes interview transcripts through a five-stage workflow: theme overview, open coding, axial coding with paradigm models, and coding statistics, outputting structured Markdown.

Can I compare categories across multiple interviews using constant comparison?▼

Yes, constant comparison across multiple interviews is supported by building, revising, and evolving categories using a cumulative coding table to track paradigm-model relationships throughout the analysis.

How do I export open codes and axial categories to Excel?▼

You can export open codes and axial categories to Excel by running the scripts/export_coding.py workflow, which aggregates completed coding results from Markdown files into a spreadsheet.

What do I need to start grounded theory qualitative analysis on my local files?▼

To start grounded theory qualitative analysis, provide the local file path of the interview transcript, your research field, research topic, and interviewee description for the agent to read and process.

Does grounded coding require Python dependencies to export the final results?▼

Yes, batch exporting aggregated coding results to Excel requires the openpyxl Python dependency to run the provided export script successfully.